Architectural design of a multi-agent recommender system for the legal domain
Proceedings of the 11th international conference on Artificial intelligence and law
A knowledge-based tool for multi-agent domain engineering
Knowledge-Based Systems
A multi-agent legal recommender system
Artificial Intelligence and Law
Applying web usage mining for adaptive intranet navigation
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
An ontology-driven technique for the architectural and detailed design of multi-agent frameworks
AOIS'05 Proceedings of the 7th international conference on Agent-Oriented Information Systems III
Web personalization based on usage mining
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Exploiting click logs for adaptive intranet navigation
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
An approach to customizing requirements goal model based on metamodel for ontology registration
AOW '09 Proceedings of the Fifth Australasian Ontology Workshop - Volume 112
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Considering the increasing demand of multi-agent systems, the practice of software reuse is essential to the development of such systems. Multi-agent domain engineering is a process for the construction of domain-specific agent-based reusable software artifacts, like domain models, representing the requirements of a family of multi-agent systems in a domain, and frameworks, implementing reusable agent-based design solutions to those requirements. This article describes the domain modeling tasks of the MADEM methodology and a case study on the application of GRAMO, a MADEM technique, for the construction of the domain model of ONTOWUM, specifying the common and variable requirements of a family of Web recommender systems based on usage mining and collaborative filtering.